An ensemble framework for farmland quality evaluation based on machine learning and physical models-Reference-Cited by-同舟云学术

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An ensemble framework for farmland quality evaluation based on machine learning and physical models

Published:2024-02 Issue: Volume:912 Page:168914
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Xian Weixuan,Liu Hang,Yang Xingjian,Huang Xi,Huang Huiming,Li Yongtao,Zeng Qijing,Tang Xianzhe

Funder

South China Agricultural University

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference52 articles.

1. Characterizing solute budgets of a tropical Andean paramo ecosystem;Arizaga-Idrovo;Sci. Total Environ.,2022

2. Beijing Urban Master Plan (2016-2035),2017

3. A procedure to derive land quality indicators for sustainable agricultural production;Bouma;Geoderma,1998

4. A multi-scale assessment of ecosystem health based on the pressure-state-response framework: a case in the middle reaches of the Yangtze River urban agglomerations, China;Chen;Environ. Sci. Pollut. Res. Int.,2022

5. GIS-based landslide susceptibility assessment using optimized hybrid machine learning methods;Chen;Catena,2021

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1. Assessment of living quality in Guangdong: A hybrid knowledge-based and data-driven approach;Ecological Informatics;2024-09

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